MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation

30 April 2024

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Papers citing "MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation"

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Title
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning William A. Stigall 114 0 0 14 Oct 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation Minqin Zhu Anpeng Wu Haoxuan Li Ruoxuan Xiong Bo Li ... Xuan Qin Peng Zhen Jiecheng Guo Leilei Gan Kun Kuang CML 79 10 0 21 Mar 2024
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification Tianjun Ke Haoqun Cao Zenan Ling Feng Zhou UQCV 59 8 0 16 Oct 2023
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 77 12 0 09 Aug 2023
Few-Shot Classification with Contrastive Learning Zhanyuan Yang Jinghua Wang Ying J. Zhu OODD MQ 107 57 0 17 Sep 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 122 382 0 13 May 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 85 168 0 09 Apr 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Weixin Liang James Zou OOD 91 84 0 14 Feb 2022
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 176 69 0 10 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 155 535 0 31 Aug 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 83 187 0 22 Aug 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 98 118 0 01 Jul 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 84 95 0 14 May 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation Haoqing Wang Zhihong Deng 96 123 0 29 Apr 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 277 128 0 04 Jan 2021
Few-Shot Classification with Feature Map Reconstruction Networks Davis Wertheimer Luming Tang B. Hariharan 87 239 0 02 Dec 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 91 312 0 12 Oct 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 99 233 0 28 Sep 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-Man Cheung Alexander Binder 72 89 0 17 Jul 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients S. Hu Pablo G. Moreno Yanghua Xiao Xin Shen G. Obozinski Neil D. Lawrence Andreas C. Damianou BDL 92 125 0 27 Apr 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng Zhang Mingsheng Long Han Hu 92 323 0 26 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 221 347 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 393 18,897 0 13 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 77 394 0 23 Jan 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 108 1,249 0 20 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,136 0 13 Nov 2019
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 278 642 0 17 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 85 170 0 08 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 315 647 0 19 Sep 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 203 2,246 0 05 Jul 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 116 1,770 0 08 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Wenbin Li Lei Wang Jinglin Xu Jing Huo Yang Gao Jiebo Luo 84 491 0 28 Mar 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella V. Rotemberg P. Tschandl M. E. Celebi Stephen W. Dusza ... Aadi Kalloo Konstantinos Liopyris Michael Marchetti Harald Kittler Allan Halpern 113 1,193 0 09 Feb 2019
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 212 1,071 0 06 Dec 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 148 1,374 0 16 Jul 2018
Stable Prediction across Unknown Environments Kun Kuang Ruoxuan Xiong Peng Cui Susan Athey Bo Li OOD 91 167 0 16 Jun 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 100 931 0 21 May 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 314 4,054 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 176 1,240 0 10 Nov 2017
Few-Shot Adversarial Domain Adaptation Saeid Motiian Q. Jones Seyed Mehdi Iranmanesh Gianfranco Doretto 80 413 0 05 Nov 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification P. Helber B. Bischke Andreas Dengel Damian Borth 158 1,834 0 31 Aug 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,164 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 833 11,961 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 378 7,343 0 13 Jun 2016
Using Deep Learning for Image-Based Plant Disease Detection Sharada Mohanty David P. Hughes M. Salathé 45 3,132 0 11 Apr 2016
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 124 974 0 06 Jan 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,637 0 01 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 437 43,875 0 01 May 2014